MeanShiftCommand Class

Summary

Performs a detail preserving noise reduction.

Syntax

C++/CLI

Python

public class MeanShiftCommand : RasterCommand

public ref class MeanShiftCommand : public RasterCommand

class MeanShiftCommand(RasterCommand):

Remarks

For keeping details while removing noise, low ColorDistance values should be applied.
This command supports 12 and 16-bit grayscale and 48 and 64-bit color images. Support for 12 and 16-bit grayscale and 48 and 64-bit color images is available only in the Document/Medical toolkits.
This command does not support 32-bit grayscale images.

Mean Shift Function - Before

Mean Shift Function - After

View additional platform support for this Mean Shift function.

Example

Runs the MeanShiftCommand on the Image.

using Leadtools; 
using Leadtools.Codecs; 
using Leadtools.ImageProcessing.Core; 
 
public void MeansShiftCommandExample() 
{ 
   // Load an image 
   RasterCodecs codecs = new RasterCodecs(); 
   codecs.ThrowExceptionsOnInvalidImages = true; 
 
   RasterImage image = codecs.Load(Path.Combine(LEAD_VARS.ImagesDir, "Master.jpg")); 
 
   // Prepare the command 
   MeanShiftCommand command = new MeanShiftCommand(); 
   //Apply  
   command.Radius = 5; 
   command.ColorDistance = 10; 
   command.Run(image); 
 
} 
 
static class LEAD_VARS 
{ 
   public const string ImagesDir = @"C:\LEADTOOLS22\Resources\Images"; 
}